{"id":"https://openalex.org/W4377967912","doi":"https://doi.org/10.20944/preprints202305.1617.v2","title":"ADL: Anomaly Detection and Localization in Crowded Scenes Using Hybrid Methods","display_name":"ADL: Anomaly Detection and Localization in Crowded Scenes Using Hybrid Methods","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4377967912","doi":"https://doi.org/10.20944/preprints202305.1617.v2"},"language":"en","primary_location":{"id":"doi:10.20944/preprints202305.1617.v2","doi":"https://doi.org/10.20944/preprints202305.1617.v2","is_oa":true,"landing_page_url":"https://doi.org/10.20944/preprints202305.1617.v2","pdf_url":"https://www.preprints.org/manuscript/202305.1617/v2/download","source":{"id":"https://openalex.org/S6309402219","display_name":"Preprints.org","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.preprints.org/manuscript/202305.1617/v2/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bai Rui","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bai Rui","raw_affiliation_strings":["Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province, Hangzhou 310018, China;","Ningxia Hui Autonomous Region Department of Agriculture and Rural Affairs Information Center, Yinchuan 750004, China;","School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province, Hangzhou 310018, China;","institution_ids":[]},{"raw_affiliation_string":"Ningxia Hui Autonomous Region Department of Agriculture and Rural Affairs Information Center, Yinchuan 750004, China;","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China;","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100570877","display_name":"Hequn Wu","orcid":"https://orcid.org/0009-0006-9999-4501","observed_orcids":["https://orcid.org/0009-0006-9999-4501"]},"institutions":[{"id":"https://openalex.org/I4210108177","display_name":"Zhejiang Police College","ror":"https://ror.org/01rxaf991","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108177"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hequn Wu","raw_affiliation_strings":["Department of General Education, Zhejiang Police College, Hangzhou, 310053, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of General Education, Zhejiang Police College, Hangzhou, 310053, China;","institution_ids":["https://openalex.org/I4210108177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100570877"],"corresponding_institution_ids":["https://openalex.org/I4210108177"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9262999892234802,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9262999892234802,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.06920000165700912,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.0020000000949949026,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/video-anomaly-detection","display_name":"video anomaly detection","score":0.9860000014305115},{"id":"https://openalex.org/keywords/video-surveillance","display_name":"video surveillance","score":0.7170000076293945},{"id":"https://openalex.org/keywords/crowded-scenes","display_name":"crowded scenes","score":0.6790000200271606},{"id":"https://openalex.org/keywords/foreground-segmentation","display_name":"foreground segmentation","score":0.6570000052452087},{"id":"https://openalex.org/keywords/yolact","display_name":"YOLACT","score":0.9919999837875366},{"id":"https://openalex.org/keywords/object-tracking","display_name":"object tracking","score":0.5699999928474426},{"id":"https://openalex.org/keywords/deepsort","display_name":"DeepSORT","score":0.8840000033378601},{"id":"https://openalex.org/keywords/yolov5","display_name":"YOLOv5","score":0.8640000224113464},{"id":"https://openalex.org/keywords/hybrid-detection-method","display_name":"hybrid detection","score":0.550000011920929}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8102231621742249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7796280384063721},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7717790007591248},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7212215662002563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6393696069717407},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5588788986206055},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4968004524707794},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4523490369319916},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.40090787410736084},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07067406177520752},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.20944/preprints202305.1617.v2","doi":"https://doi.org/10.20944/preprints202305.1617.v2","is_oa":true,"landing_page_url":"https://doi.org/10.20944/preprints202305.1617.v2","pdf_url":"https://www.preprints.org/manuscript/202305.1617/v2/download","source":{"id":"https://openalex.org/S6309402219","display_name":"Preprints.org","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.20944/preprints202305.1617.v2","doi":"https://doi.org/10.20944/preprints202305.1617.v2","is_oa":true,"landing_page_url":"https://doi.org/10.20944/preprints202305.1617.v2","pdf_url":"https://www.preprints.org/manuscript/202305.1617/v2/download","source":{"id":"https://openalex.org/S6309402219","display_name":"Preprints.org","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377967912.pdf","grobid_xml":"https://content.openalex.org/works/W4377967912.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1503432700","https://openalex.org/W1967456674","https://openalex.org/W2078226924","https://openalex.org/W2102605133","https://openalex.org/W2122361470","https://openalex.org/W2138092272","https://openalex.org/W2156303437","https://openalex.org/W2163605009","https://openalex.org/W2282295506","https://openalex.org/W2316109659","https://openalex.org/W2342662179","https://openalex.org/W2436685139","https://openalex.org/W2518708963","https://openalex.org/W2521769738","https://openalex.org/W2606538621","https://openalex.org/W2608941919","https://openalex.org/W2621048175","https://openalex.org/W2739846485","https://openalex.org/W2753160739","https://openalex.org/W2777288981","https://openalex.org/W2899116516","https://openalex.org/W2901292451","https://openalex.org/W2950091778","https://openalex.org/W2962837932","https://openalex.org/W2970645682","https://openalex.org/W2987836383","https://openalex.org/W2989705574","https://openalex.org/W3044290927","https://openalex.org/W3206170757","https://openalex.org/W4200307116","https://openalex.org/W4248936881","https://openalex.org/W4293209991"],"related_works":["https://openalex.org/W4415204394","https://openalex.org/W2801347069","https://openalex.org/W4403209717","https://openalex.org/W2942496684","https://openalex.org/W3017679580","https://openalex.org/W4414841492","https://openalex.org/W2003277124","https://openalex.org/W7131713191","https://openalex.org/W4403126252","https://openalex.org/W4405790967"],"abstract_inverted_index":{"In":[0,133],"recent":[1],"years,":[2],"video":[3,13,28,49],"anomaly":[4,114],"detection":[5,43,52,149],"technology":[6,30],",":[7,96],"which":[8,155],"can":[9],"intelligently":[10],"analyze":[11],"massive":[12],"and":[14,36,53,63,73,109,124,144,150,178],"quickly":[15],"find":[16],"abnormal":[17,40,50,127],"phenomena,":[18],"has":[19],"attracted":[20],"extensive":[21],"attention":[22],"with":[23,181],"the":[24,34,59,64,84,94,99,106,126,130,136,153,160,167,170,174,179,185],"wide":[25],"application":[26],"of":[27,39,105,166,187],"surveillance":[29,45,48],".":[31],"To":[32,91],"address":[33],"complex":[35],"diverse":[37],"problem":[38],"human":[41],"behavior":[42,51,128],"in":[44,129,152,169],"videos,":[46],"a":[47],"localization":[54],"supervised":[55],"method":[56,66,121],"based":[57],"on":[58,173],"deep":[60],"network":[61],"model":[62,116],"traditional":[65],"is":[67],"proposed.":[68],"Specifically,":[69],"we":[70,97],"combined":[71],"AGMM":[72],"YOLACT":[74],"methods":[75],"to":[76,102,135,158],"obtain":[77],"more":[78],"accurate":[79],"foreground":[80,85,107],"information":[81],"by":[82,88],"fusing":[83],"maps":[86],"extracted":[87],"each":[89],"technique.":[90],"further":[92],"improve":[93],"accuracy":[95],"use":[98],"PWC-Net":[100],"technique":[101],"extract":[103],"features":[104],"images":[108],"input":[110],"them":[111],"into":[112],"an":[113],"classification":[115],"for":[117,147,163],"classification.":[118],"The":[119],"proposed":[120],"effectively":[122],"detects":[123],"locates":[125],"monitoring":[131],"scene.":[132],"addition":[134],"aforementioned":[137],"methods,":[138],"this":[139],"paper":[140],"also":[141],"employs":[142],"YOLOV5":[143],"DeepSORT":[145],"networks":[146],"object":[148],"tracking":[151],"video,":[154],"allows":[156],"us":[157],"track":[159],"detected":[161],"objects":[162],"better":[164],"understanding":[165],"scene":[168],"video.":[171],"Experiments":[172],"UCSD":[175],"benchmark":[176],"dataset":[177],"comparison":[180],"state-of-the-art":[182],"schemes":[183],"prove":[184],"advantages":[186],"our":[188],"method.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2023-05-25T00:00:00"}
